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linK2_functions2 merged

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Ricardo 2013-09-13 18:09:59 +01:00
parent f8c9e6b982
commit 1bc9374717
10 changed files with 113 additions and 75 deletions
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6
GPy/models/gp_multioutput_regression.py
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@ -6,7 +6,7 @@ import numpy as np
from ..core import GP
from .. import likelihoods
from .. import kern
from ..util import multioutput
#from ..util import multioutput
class GPMultioutputRegression(GP):
"""
@ -51,8 +51,8 @@ class GPMultioutputRegression(GP):
#Coregionalization kernel definition
if kernel_list is None:
kernel_list = [[kern.rbf(original_dim)],[]]
mkernel = multioutput.build_lcm(input_dim=original_dim, num_outputs=self.num_outputs, CK = kernel_list[0], NC = kernel_list[1], W_columns=W_columns)
kernel_list = [kern.rbf(original_dim)]
mkernel = kern.build_lcm(input_dim=original_dim, num_outputs=self.num_outputs, kernel_list = kernel_list, W_columns=W_columns)
self.multioutput = True
GP.__init__(self, X, likelihood, mkernel, normalize_X=normalize_X)

4
GPy/models/sparse_gp_multioutput_regression.py
View file

@ -71,8 +71,8 @@ class SparseGPMultioutputRegression(SparseGP):
#Coregionalization kernel definition
if kernel_list is None:
kernel_list = [[kern.rbf(original_dim)],[]]
mkernel = multioutput.build_lcm(input_dim=original_dim, num_outputs=self.num_outputs, CK = kernel_list[0], NC = kernel_list[1], W_columns=W_columns)
kernel_list = [kern.rbf(original_dim)]
mkernel = kern.build_lcm(input_dim=original_dim, num_outputs=self.num_outputs, kernel_list = kernel_list, W_columns=W_columns)
self.multioutput = True
SparseGP.__init__(self, X, likelihood, mkernel, Z=Z, normalize_X=normalize_X)